Blogs Home - Tags - bigdata urn:lsid:ibm.com:blogs:entries1162014-08-07T06:43:26-04:00IBM Connections - Blogsurn:lsid:ibm.com:blogs:entry-01dce529-dea3-44eb-ac1a-a8f248ae336dCreate an Agile Environment for Diverse Big Data &amp; Analytics and HPC WorkloadsAndrew Jolieajolie@ca.ibm.com270005A5NBactiveComment Entriesapplication/atom+xml;type=entryLikes2015-02-22T00:09:00-05:002015-01-19T10:27:34-05:00<p dir="ltr">
<a href="/systems/platformcomputing/products/hpc/index.html">IBM&reg; Platform&trade; HPC V4.2</a> is an easy-to-use High-Performance Computing infrastructure management software. It&#39;s advanced cluster and workload management capabilities are all accessible via an intuitive web-based user interface. Featuring refreshed workload management, MPI and cluster management enhancements, Platform HPC provides shorter time to system readiness, improved user productivity and optimal use of resources for reduced time to results.</p>
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<a href="/systems/platformcomputing/products/clustermanager/index.html">IBM&reg; Platform&trade; Cluster Manager V4.2</a> provides the ability to provision, run, manage and monitor scale-out compute environments. For environments where only a single cluster is required, IBM Platform Cluster Manager - Standard Edition provides an easy to use, extensible web-based interface for management of the life cycle of the cluster including provisioning, and monitoring as well as software and hardware management.</p>
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IBM Platform Cluster Manager - Advanced Edition automates the assembly of multiple scale-out compute environments on a shared infrastructure used by multiple teams. The software creates an agile environment for diverse workloads including big-data &amp; analytics and high-performance computing. This allows administrators to resize clusters in real time according to business demands, resulting in increased resource utilization and reduced infrastructure and management costs.</p>
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IBM Platform Cluster Manager V4.2 includes the following updates:</p>
<table border="0" cellpadding="0" cellspacing="0" class="ibm-data-table" dir="ltr" summary="New capabilities for IBM Platform Cluster Manager">
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<th scope="col">
<h4>
Capability</h4>
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<th scope="col" width="140">
<h4>
Standard Edition</h4>
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Advanced Edition</h4>
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Support for IBM POWER8 Big-Endian (Linux)</p>
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&nbsp;</td>
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<th class="ibm-table-row" scope="row">
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Enhanced scalability; support for up to 2500 nodes</p>
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&nbsp;</td>
</tr>
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<th class="ibm-table-row" scope="row">
<p>
IBM Elastic Storage monitoring</p>
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&nbsp;</td>
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&nbsp;</td>
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<th class="ibm-table-row" scope="row">
<p>
Support for multiple-tenants</p>
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<th class="ibm-table-row" scope="row">
<p>
Fully GUI driven cluster template designer</p>
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&nbsp;</td>
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<th class="ibm-table-row" scope="row">
<p>
IBM Elastic Storage cluster management</p>
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&nbsp;</td>
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&nbsp;</td>
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</tbody>
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IBM&reg; Platform&trade; HPC V4.2 is an easy-to-use High-Performance Computing infrastructure management software. It&#39;s advanced cluster and workload management capabilities are all accessible via an intuitive web-based user interface. Featuring refreshed...0060urn:lsid:ibm.com:blogs:entries-ecd67bbb-d625-49f1-99a0-58ea161813d7IBM Platform Computing Blog2015-02-22T00:11:46-05:00urn:lsid:ibm.com:blogs:entry-25887708-09c7-4f8a-9cfb-8b523be45f59Inteligência artificial ganha espaço nas empresas ao reduzir erros e custosRoberto Amarorobertoa@br.ibm.com270006PURBactiveComment Entriesapplication/atom+xml;type=entryLikes2015-02-04T05:54:42-05:002015-02-04T05:54:42-05:00<p dir="ltr">
<span class="clippingDetalheTexto" id="ContentPlaceHolderUser_ucDetalhe_lblTextoClipping">Com o aux&iacute;lio de m&aacute;quinas, uma pessoa consegue fazer o trabalho de v&aacute;rias, aumentando a efici&ecirc;ncia. Mas n&atilde;o &eacute; s&oacute; isso. A tecnologia permite reduzir erros e encurtar prazos, al&eacute;m de fazer coisas que n&atilde;o seriam capazes de ser feitas a m&atilde;o.A robotiza&ccedil;&atilde;o das f&aacute;bricas j&aacute; vem do s&eacute;culo passado. Mais recentemente, empresas t&ecirc;m adotado sistemas especialistas, que conseguem tomar decis&otilde;es a partir de um volume de dados que um profissional humano dificilmente conseguiria abarcar.Estudo da consultoria BCC Research apontou que o mercado de &ldquo;m&aacute;quinas inteligentes&rdquo; somou US$ 5,3 bilh&otilde;es em 2013, e deve chegar a US$ 15,2 bilh&otilde;es em 2019, o que representa um crescimento m&eacute;dio anual pr&oacute;ximo de 20%. Apesar de usar a palavra m&aacute;quinas, o estudo tamb&eacute;m inclui software, abarcando sistemas especialistas, rob&ocirc;s aut&ocirc;nomos, assistentes digitais, sistemas embarcados e neurocomputadores.&nbsp;</span></p>
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Segundo o relat&oacute;rio, essas m&aacute;quinas s&atilde;o definidas, entre outras caracter&iacute;sticas, pela capacidade de se adaptar e aprender a partir de mudan&ccedil;as em tempo real, de operar autonomamente (sem supervis&atilde;o humana), e de serem capazes de se comunicar com outras m&aacute;quinas.A fic&ccedil;&atilde;o &eacute; cheia de seres dotados de intelig&ecirc;ncia artificial, como o androide tenente-comandante Data, da s&eacute;rie Star Trek; o computador de bordo HAL 9000, do filme 2001; e os ciborgues assassinos dos filmes Exterminador do Futuro. Mas, na pr&aacute;tica, o que chegou ao mercado at&eacute; agora foram sistemas muito mais simples e especializados.</p>
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No ano passado, o Bradesco fechou um acordo com a IBM para ser o primeiro usu&aacute;rio no Brasil do Watson. O sistema de intelig&ecirc;ncia artificial ficou famoso em 2011 ao vencer humanos no programa de perguntas e repostas Jeopardy, mesmo sem estar conectado &agrave; internet. O Watson fala e entende o que as pessoas falam.&ldquo;Estamos come&ccedil;ando agora&rdquo;, disse Marcelo Ribeiro C&acirc;mara, gerente do Departamento de Pesquisa e Inova&ccedil;&atilde;o Tecnol&oacute;gica do Bradesco. &ldquo;O Watson ainda nem fala portugu&ecirc;s.&rdquo; As primeiras aplica&ccedil;&otilde;es devem come&ccedil;ar a rodar em meados deste ano. Desenvolvido em ingl&ecirc;s, o Watson est&aacute; aprendendo a l&iacute;ngua portuguesa.O Bradesco v&ecirc; potencial, a princ&iacute;pio, em aplicar o Watson a tr&ecirc;s &aacute;reas: atendimento a clientes, treinamento de funcion&aacute;rios e gest&atilde;o de fortunas.</p>
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Nos dois primeiros casos, a principal vantagem seria o entendimento da linguagem natural. No terceiro, a capacidade de o computador analisar um volume muito grande de dados n&atilde;o estruturados, como relat&oacute;rios e not&iacute;cias financeiras.A IBM negocia atualmente outros seis acordos de uso do Watson no Brasil. Segundo F&aacute;bio Scopeta, l&iacute;der do Centro de Compet&ecirc;ncia Watson para a IBM Am&eacute;rica Latina, esses clientes est&atilde;o nas &aacute;reas banc&aacute;ria, de varejo, industrial e de sa&uacute;de. &ldquo;O campo de sa&uacute;de tem chamado muito a aten&ccedil;&atilde;o&rdquo;, disse.</p>
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O Watson pode ser usado para dar assist&ecirc;ncia ao m&eacute;dico, j&aacute; que &eacute; capaz de analisar milhares de publica&ccedil;&otilde;es m&eacute;dicas antes de sugerir um diagn&oacute;stico. &ldquo;Imagine que a especialidade &eacute; oncologia: o sistema tem acesso a um volume maior de informa&ccedil;&otilde;es do que o melhor profissional da &aacute;rea consegue ter&rdquo;, explicou Scopeta. Depois de aprender o idioma portugu&ecirc;s, o Watson precisa ser treinado na &aacute;rea de conhecimento em que vai atuar. &ldquo;Uma vez que esteja treinado, ele vai aprender de forma infinita&rdquo;, disse. O Watson &eacute; um exemplo do que vem sendo chamado de aprendizado de m&aacute;quina, em que um sistema aprende com a pr&oacute;pria experi&ecirc;ncia.O rob&ocirc; Baxter, da Rethink Robotics.</p>
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M&aacute;quinas aut&ocirc;nomas J&aacute; existem rob&ocirc;s industriais que n&atilde;o precisam ser programados, como o Baxter, da Rethink Robotics. Ele tem dois bra&ccedil;os mec&acirc;nicos e um monitor onde seria o rosto. No lugar de program&aacute;-lo, algu&eacute;m movimenta seus bra&ccedil;os uma primeira vez para ensin&aacute;-lo como trabalhar. Ao contr&aacute;rio da maioria dos rob&ocirc;s industriais, o Baxter consegue trabalhar lado a lado de humanos, pois possui sensores para evitar que ele machuque algu&eacute;m.Segundo o estudo da BCC Research, o mercado de m&aacute;quinas inteligentes ainda &eacute; dominado por sistemas especialistas, que responderam por 57% das vendas em 2013. Em 2014, no entanto, a expectativa era de que fossem ultrapassados por rob&ocirc;s aut&ocirc;nomos, com US$ 13,9 bilh&otilde;es em vendas mundiais, comparados a US$ 12,4 bilh&otilde;es dos sistemas especialistas.</p>
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Os carros que n&atilde;o precisam de motorista, como o que est&aacute; sendo desenvolvido pelo Google, s&atilde;o considerados rob&ocirc;s aut&ocirc;nomos.Atualmente, muitos dos chamados sistemas especialistas s&atilde;o aplica&ccedil;&otilde;es de outras tend&ecirc;ncias quentes do setor de tecnologia, como an&aacute;lise de dados, big data e internet das coisas.Algumas operadoras de telecomunica&ccedil;&otilde;es, por exemplo, j&aacute; t&ecirc;m sistemas de an&aacute;lise de infraestrutura que permitem prever falhas e melhorar o trabalho das equipes de campo. Bancos de investimento usam algoritmos para negociar pap&eacute;is financeiros em alta velocidade, tirando vantagem de diferen&ccedil;as de cota&ccedil;&otilde;es em mil&eacute;simos de segundo.</p>
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De acordo com reportagem da revista Wired, a Hyundai Motors conseguiu reduzir o tempo de produ&ccedil;&atilde;o de seus carros em 20%, ao adotar sistemas de intelig&ecirc;ncia artificial.Uma &aacute;rea importante mapeada no estudo da BCC Research &eacute; a dos assistentes pessoais digitais, como a Siri, da Apple; o Google Now; e a Cortana, da Microsoft. H&aacute; uma d&eacute;cada pareceriam coisa de fic&ccedil;&atilde;o cient&iacute;fica, mas foram incorporados naturalmente &agrave; vida de milh&otilde;es de pessoas.(Clique na imagem para ampliar)Vis&otilde;es do futuroElon Musk doa US$ 10 mi para rob&ocirc;s n&atilde;o irem longe demaisL ink no papel &ndash; 2/2/2015</p>
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fonte: O ESTADO DE S. PAULO - ECONOMIA - S&Atilde;O PAULO - SP - 02/02/2015 - P&aacute;g. B 8 E B 9</p>
Com o aux&iacute;lio de m&aacute;quinas, uma pessoa consegue fazer o trabalho de v&aacute;rias, aumentando a efici&ecirc;ncia. Mas n&atilde;o &eacute; s&oacute; isso. A tecnologia permite reduzir erros e encurtar prazos, al&eacute;m de fazer coisas que...0075urn:lsid:ibm.com:blogs:entries-6b35ba49-d338-4624-a5e4-dbfcc111b07cFalando de TI2015-02-10T05:51:39-05:00urn:lsid:ibm.com:blogs:entry-37103cc0-5a73-4b5f-8829-5b351705c530The 50 Year Total Cost of Ownership: Real considerations for long term storage Part 1Shawn Brumesbrume@us.ibm.com0600006D2FactiveComment Entriesapplication/atom+xml;type=entryLikes2014-12-17T14:03:03-05:002014-12-17T14:03:03-05:00<p dir="ltr">
In the scope of natural resources, data, as the &quot;new&quot; natural resource is as fresh as they come.&nbsp; However, the relative newness of data as a true resource is not unnoticed by the predominant data storage medium.&nbsp; Introduced in 1952, tape sits alone in the storage arena as the only historically analytic &ldquo;new&rdquo; technology.&nbsp;</p>
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A brief history of tape demonstrates that all of the critical data through modern computational business has been nearly solely carried through time on tape.&nbsp; Early in data acquisition tape was the only medium with the data through put and capacity to hold the Gigabytes of data being generated.&nbsp; Through the eighties and early Nineties tape continued to be the most reliable infrastructure for the most critical financial and scientific data.&nbsp; Like it or not all of this data has been the big data for each generation. Currently the Cloud and off-premise managed infrastructure is gaining momentum for both consumers and enterprises.&nbsp;</p>
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Tape in the cloud is also gaining momentum, IDC has reported that more than 2% of all energy produced in the United States is used to power the &ldquo;Open Compute&rdquo; infrastructures used for Cloud and Social media.&nbsp; The cost of both powering and cooling these systems has lead to entirely new specialists in the IT field.&nbsp; Clipper Group reports that Tape is up to 26 times less expensive in a 9 year TCO study when compared to a spinning disk infrastructure. &nbsp;The power alone for the TCO of disk is more than the entire Tape infrastructure. &nbsp;MAID, the process of powering down disk drives not in operation, has been less than successful in real applications.</p>
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Being fair to disk, it does have advantages for concurrency and time to data.&nbsp;&nbsp; Bearing in mind that industry analysts in several studies have determined that between 60 and 80% of all data is untouched after the first 90 days to creation, it is easy to see why concurrency and millisecond access time can be managed even with the retention of critical data.</p>
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Looking at an analysis by Robert Fontana and Gary Decad <span style="color:blue;">[see diagram 1]</span>, an analysis for a 50 year TCO has to take in to account that disk is facing serious industry challenges to over come atomic level limitations.&nbsp; At the same time tape at the current densities has no atomic limitations for, &nbsp;what could be interpolated, to be more than 50 years.</p>
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<strong>Image 1.</strong></p>
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<a href="https://www-304.ibm.com/connections/blogs/DPRBLM/resource/BLOGS_UPLOADED_IMAGES/DvTvF.jpg" style="width: 100%; display: inline-block;" target="_blank"><img alt="image" src="https://www-304.ibm.com/connections/blogs/DPRBLM/resource/BLOGS_UPLOADED_IMAGES/DvTvF.jpg" style=" width:100%; display:block; margin: 1em 0pt 0pt 0pt; float: left;" /></a></p>
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Another consideration of a 50 year TCO is the overall management of the data.&nbsp; Management includes planned migrations of the data, dependability of data in the infrastructure and any manual intervention that is needed in the period of ownership.&nbsp; The common misconception is that tape has to be continuously handled to make the TCO calculation better than disk, in the past this was true only because of the scale of the infrastructures.&nbsp; Modern tape systems can easily manage 120PetaBytes of online data in a single library string (This is calculated without compression in a TS3500 and TS1150 10TB drives).&nbsp; Few infrastructures today require 120 PB of data nearline and available.&nbsp;</p>
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But what about the risks of data integrity? Every time I turn around I see some off-premise export application or appliance that randomly brings up that data is at risk on tape much more than anywhere else., Poppycock!!&nbsp; There I said it.&nbsp; With the exception of physical transportation of media, tape is both better for bit error and dependability than disk.&nbsp; The bit error rate of TS1150 and LTO6 is 1E20^, several orders of magnitude above any disk drive available today.&nbsp; So how does that compare to the stated dependability of the cloud providers like Amazon glacier that claim a durability of 99.999999999% (nine 9&rsquo;s)? A single copy of data on tape offers 12 - 9&rsquo;s of durability. If we assume that there is at least 2 copies of the data for a disk system to get the 9 - 9&rsquo;s than the same number of copies of data on tape will yield 24 - 9&rsquo;s of durability!!!&nbsp;</p>
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Speaking of management of the data, it is important to acknowledge up front that electronic data must be planned for migration. All modern digital data including the majority of movie productions, should look at how to easily manage data migrations from generation to generation and from one format to another.&nbsp; Lets be very clear modern data is not paper copies or film canisters and it is not practical to ever think the digital industries will go back to those mediums, just due to sure volumes. I am not going to layout the plans of migration, but will point out migration is not only preservation, but also financial.&nbsp; EVERY storage medium must have a migration strategy, data will not survive without management, even on traditional mediums of film and paper.&nbsp;</p>
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The chart below shows both&nbsp; the space and the cost per GB for mediums in the last 30 years a good case for why planned migrations, even with capital expense being a consideration, is financially astute.</p>
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<strong>Table 1.</strong></p>
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<a href="https://www-304.ibm.com/connections/blogs/DPRBLM/resource/BLOGS_UPLOADED_IMAGES/storage-space.jpg" style="width: 100%; display: inline-block;" target="_blank"><img alt="image" src="https://www-304.ibm.com/connections/blogs/DPRBLM/resource/BLOGS_UPLOADED_IMAGES/storage-space.jpg" style=" width:100%; display:block; margin: 1em 0pt 0pt 0pt; float: left;" /></a></p>
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<em>*Note that in some instances the introduction date is the commercialized availability date, not the first possible date of introduction.</em></p>
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In my next post I will use these discussion points to bring forward a 50 year TCO comparison of the industry leading long term retention infrastructures. These will include in some instances the planned migration and effectual benefits or downfalls associated.</p>
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Reference:</p>
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<em><span style="font-size: 9px;">Decad, Fontana,&nbsp;Metzler:&nbsp;</span></em><em><span style="font-size:9px;"><span style="font-family: ArialMT;">The Impact of Areal Density and Millions of Square Inches (MSI) of Produced Memory on Petabyte Shipments for TAPE, NAND Flash, and HDD Storage Class&nbsp;</span></span></em></p>
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In the scope of natural resources, data, as the &quot;new&quot; natural resource is as fresh as they come.&nbsp; However, the relative newness of data as a true resource is not unnoticed by the predominant data storage medium.&nbsp; Introduced in 1952, tape...00430urn:lsid:ibm.com:blogs:entries-4f913602-8b7d-43cb-8034-7533d13a6a4eShawn O. Brume Sc.D.2014-12-17T14:03:03-05:00urn:lsid:ibm.com:blogs:entry-0cb1c801-f9bf-47bc-bb8e-9b68fb1e544eThe need for speedRebecca SwindellREBECCA.SWINDELL@UK.IBM.COM270003U1MKactivebcde08b8-816c-42a8-aa37-5f1ce02470a9Comment Entriesapplication/atom+xml;type=entryLikes2014-11-11T14:52:26-05:002014-11-11T14:52:26-05:00<p dir="ltr">
<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;">Guest Blog from Chris Notts, CTO IBM Big Data and Analytics, UKI.&nbsp;<br />
<br />
For real time news from IBM Big Data and Analytics follow <a href="https://twitter.com/ibmbigdatauk" target="_blank">@IBMBigDataUK</a> &amp; <a href="https://twitter.com/analyticsuk" target="_blank">@analyticsUK</a>&nbsp;on Twitter.</span></span></p>
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<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;"><a href="https://www-304.ibm.com/connections/blogs/bcde08b8-816c-42a8-aa37-5f1ce02470a9/resource/BLOGS_UPLOADED_IMAGES/051642866.jpg" style="width: 100%; display: inline-block;" target="_blank"><img alt="image" src="https://www-304.ibm.com/connections/blogs/bcde08b8-816c-42a8-aa37-5f1ce02470a9/resource/BLOGS_UPLOADED_IMAGES/051642866.jpg" style=" display:block; margin: 1em 0pt 0pt 0pt; float: left;" /></a></span></span></p>
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<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;">The case is clear &ndash; the faster you can turn raw data into intelligent insight, the quicker you can steal a march on your competitors.</span></span><br />
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<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;">This theme comes through loud and clear in the latest <a href="http://www-935.ibm.com/services/us/gbs/thoughtleadership/2014analytics/">analytics study</a> from IBM&rsquo;s Institute for Business Value.&nbsp; Nonetheless, only 10% of organisations fit into the category of &lsquo;front runners&rsquo; and already demonstrate high speed to action levels.&nbsp;&nbsp; These are the data-driven organisations using analytics to drive business processes within most business functions.</span></span><br />
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<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;">The &lsquo;V&rsquo; for velocity is clearly not an easy nut to crack.</span></span><br />
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<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;">But one organisation that really is making it happen right now is the RFU (Rugby Football Union).&nbsp; In fact, you need look no further than this month&rsquo;s rugby internationals in England to see big data &ndash; at speed &ndash; in action.&nbsp;</span></span><br />
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<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;">Rugby can be a difficult game to comprehend, even for its most dedicated supporters.&nbsp; It is a team game where players take on different roles on the field of play and matches themselves are fluid. &nbsp;So the RFU uses real-time match analytics, coupled with historical match data, to bring the game of rugby closer to die-hard and new generations of fans alike.</span></span><br />
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<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;">And it needs to be quick.&nbsp; To make it the best, most engaging experience for fans, linking the physical world of the stadium and the digital world of broadcast, the RFU has to respond to real-time match events.&nbsp;</span></span><br />
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<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;">The <a href="http://www.rfu.com/ibmtrytracker">IBM TryTracker</a> is designed to help navigate both casual viewers and experts alike through the action as it happens, making sense of what they are watching and driving discussion about the key turning points and star performers.</span></span></p>
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<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;"><a href="https://www-304.ibm.com/connections/blogs/bcde08b8-816c-42a8-aa37-5f1ce02470a9/resource/BLOGS_UPLOADED_IMAGES/rug4.jpg" style="width: 100%; display: inline-block;" target="_blank"><img alt="image" src="https://www-304.ibm.com/connections/blogs/bcde08b8-816c-42a8-aa37-5f1ce02470a9/resource/BLOGS_UPLOADED_IMAGES/rug4.jpg" style=" width:400px; display:block; margin: 0 auto;text-align: center;" /></a></span></span></p>
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<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;">&nbsp;</span></span><span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;">A bespoke algorithm analyses key events over a period of time providing a real-time update on which team is on top &ndash; and who has the momentum.</span></span></li>
<li>
<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;">By analysing 5 years of matches, it identifies the 3 &lsquo;keys&rsquo; each team needs to achieve to stand a better chance of winning - and then tracks them in real time.</span></span></li>
<li>
<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;">Both positive (e.g. metres gained) and negative (e.g. missed tackle) key events are analysed by player, and tailored for their position in the team, to see who is having the greatest influence on the match.</span></span><br />
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</ul>
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<span style="font-size:14px;"><span style="font-family:arial,helvetica,sans-serif;">In this year&rsquo;s rugby internationals, played throughout the month of November, the RFU will again be using the IBM TryTracker to educate, connect and enthuse. Their need for speed is fuelled by a clear objective &ndash; data-driven insights will, and do, increase fan engagement. It also shows that speed of insight is driven by the width of the aperture of analytics - the wider you can infuse analytics and insight, the more agile and effective your organisation.&nbsp; And for me, that is the true nature of a data-driven organisation &ndash; one that puts the power of data into the hands of all who really need it. &nbsp;&nbsp;<br />
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For more information on the <a href="http://bit.ly/IBMTryTracker" target="_blank">IBM&nbsp;TryTracker&nbsp;</a>- visit the Telegraph Hub or our <a href="http://www-05.ibm.com/innovation/uk/sports/?cmp=102L4&amp;ct=102L401A&amp;cr=digitalooh&amp;cm=Z&amp;csr=neiotuk_CA_ThgtL_sports_data_q42012&amp;ccy=GB&amp;cd=2012-11-08&amp;cn=q4_ThgtL_sp_DIAGC_rugby_digitalooh_1x1_uk&amp;csz=1x1&amp;S_TACT=102L401A" target="_blank">UKI&nbsp;Sports&nbsp;Site</a>.</span></span><br />
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Guest Blog from Chris Notts, CTO IBM Big Data and Analytics, UKI.&nbsp;
For real time news from IBM Big Data and Analytics follow @IBMBigDataUK &amp; @analyticsUK &nbsp;on Twitter.
The case is clear &ndash; the faster you can turn raw...001290urn:lsid:ibm.com:blogs:entries-97050e2c-bec8-4274-a3ee-4432f0a1f4bcIBM Software Community2015-02-03T09:57:50-05:00urn:lsid:ibm.com:blogs:entry-bb0cfbe2-fe2e-421b-a15e-e1b934fdf89cBig Data, Google, Facebook – data privacy still en vogue?Andre KresKRES@de.ibm.com0600013AKVactiveea06c2de-ad40-4ec6-8a9c-8fd8d5e0b938Comment Entriesapplication/atom+xml;type=entryLikes2014-11-04T14:43:22-05:002014-11-07T09:35:37-05:00<p dir="ltr">
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">Technologies for business analytics like data mining, big data and real time data look on the end of the day like a mind reading exercise for the customer. Knowing key customers well enough is the magic, which creates market leaders!</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">On the top level it is not too bad for the customer itself. The shop, which has the product on shelf the customer likes at a reasonable price he / she is prepared to afford, will be the shop of their choice very soon. But once the data are on premise of the company, what happens to it next?</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">In my first blog article I would like to introduce multiple aspects of privacy in connection with data and information.</span></span></p>
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<strong><span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">The context is more important than the data itself</span></span></strong></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">Let us construct something. Imagine your son wants to celebrate his birthday in school by sharing some jelly babies with his friends. This clever boy already realized, that some of his friends have a Muslim religion and are not allowed to eat jelly babies made of pork jelly. By his social competence he realizes, that he can&#39;t share jelly babies in class without sharing them with his Muslim friends. As a cosmopolitan parent you would look online for beef jelly babies. The keyword you enter is &bdquo;halal&ldquo;. Assuming you are not Muslim you would need to look over many search results for a long time. Okay, now let us add another hypothetical level to this story:<br />
Let us imagine that your wife works for US Aid and travels regularly to countries like Afghanistan... In addition to the search requests for halal food are&nbsp; purchases of roundtrip airline ticket to Kabul, a couple of phone or Skype calls and of course many internet research hits about Afghanistan.</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">I think we can all imagine how this data may be interpreted, <u>if it&rsquo;s taken out of the context.</u></span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">Let me give you some background information that has been discussed in the media in the past few months. Edward Snowden opened the debate. People start thinking about how they are using the internet; thinking about their data available there. <a href="http://www.dailymail.co.uk/sciencetech/article-2423713/Facebook-users-committing-virtual-identity-suicide-quitting-site-droves-privacy-addiction-fears.html">Facebook loses members.</a> According to a Spiegel article, <a href="http://www.spiegel.de/netzwelt/netzpolitik/deutschen-telekom-nsa-und-gchq-haben-offenbar-zugang-a-991419.html">Deutsche Telekom is accused of giving the NSA access to their networks.</a> Fundamental questions like to following ones arise: Is the internet still save to use? Or has it ever been save? Can I still trust companies as some of the oldest institutions that have to handle data privacy?</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">I personally believe data privacy is more important than ever. In order to protect their business, companies need to be recognized as a trusted harbor for data! And companies have to take every possible action to protect the data of their customers.</span></span></p>
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<strong><span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">How you should not analyze data</span></span></strong></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">There is this logical argument that the police needs access to the data in order to prevent crime. I believe this is wrong. Why? The police needs information - not data. Data has no context &ndash; information is data with context. For instance if the police looks for a stolen green car, they don&#39;t need to know the color of the car that a suspect drives. They just need to know, whether it is green or not. Of course knowing the context of the question, the suspects answer would most likely be all the time &bdquo;no&ldquo;.</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">This leads to the next topic &ndash; trust. How can the policeman trust in in the suspects answer? He normally wouldn&#39;t. The policeman would now have to track down the suspect and simply check it with his own eyes if possible &ndash; this his way of audit a statement.</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">The problem is accidentally gained knowledge. Let us take again the example of the policeman with the car and the suspect. Inspecting the suspected car, the policemen might find out that the passenger in the car is a different man with the his ownwife. This information will most likely have consequences to his marriage, but in fact it is not related to the policemen&rsquo;s job and he shouldn&#39;t have this information. It is not in the interest of himself the other man and his own wife as well. The privacy of innocent citizen is heavily impacted and damage to personal wealth and safety needs to be feared.</span></span></p>
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<strong><span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">How should companies handle customer data?</span></span></strong></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">Companies need to move from data- to information management. Not every application needs to have full data access. Most of the data-consuming business intelligence applications need <strong>information generated by data</strong>. Although the data might be falling under the data privacy act the information might not.</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">Coming back to the shop example from the beginning. In order to have the products available which the customer wants to buy in the shop, the customers personal shopping habits need to be the input of the system.As the shop has many customers, the shopping habits of a single customer would be part of this input for the system - along with many other informations that are needed. The order placement system of the shop itself &nbsp;then has to order at the distributor based on information generated from all the accessible customers shopping habits. The shopping habits of the unique customer are not necessary anymore and should be deleted &ndash; at least it should not be possible to conclude on a single person.</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">The concepts of information, trust and auditability are universal. Not only customers are discouraged with the new world - business operations function inside the company are discouraged as well.</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">The real value of data-analytics</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">Have you ever wondered, why your nice and shining standard reportings are not used? The statements range from &bdquo;they are wrong&ldquo;, &bdquo;they do not fit my need&ldquo;, to &bdquo;my business area is different or not covered&ldquo;. At the end of the day this is again a matter of trust and auditability.</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">Aren&rsquo;t these business analysts inside the business operations functions like the policeman with the car? For me it looks like recipients of such reportings want to collect their own information out of the available data because they do not trust the standard report and can not audit it. On the other hand they also may learn things, they don&#39;t need to know.</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">Taking all these arguments together, I would conclude: &bdquo;data privacy&ldquo; is more &ldquo;en vogue&rdquo; than ever. The initial trust in companies based on historic believes - is on risk. Companies need to invest in information management technology now and avoid loosing access-control to their customer-data. The originator of the information &ndash; the customer &ndash; needs to be able to trust, that the data is not inappropriately shared. This trust can only be achieved by an end-to-end trace- ability for the data. This is called &ldquo;data linage&rdquo;. This &ldquo;data linage&rdquo; data has to be auditable - preferably by the customer itself.</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">If data linage information can not be made available to the customer, then trust needs to be at least certified by external auditing companies.</span></span></p>
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<span style="font-family:times new roman,serif;"><span style="font-size:12.0pt;">Talking about Big Data also means talking about data privacy. There are plenty of information in the internet, which are not protected by any authentication mechanism and therefore public. This also includes many Facebook&nbsp; / Google profiles, internet forums and other privately authored content. Although in the media big data and analytics is presented as the &ldquo;bad guy&rdquo; giving access to the most private secrets - there is technology available to make it &ldquo;safe for the public&rdquo;. <strong>In my upcoming blog posts I&rsquo;m going to write more detailed about all the different aspects of data privacy. In this first article I just wanted to broach the topic and introduce technical solutions to handle the challenges coming with information needs and privacy.</strong></span></span></p>
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Technologies for business analytics like data mining, big data and real time data look on the end of the day like a mind reading exercise for the customer. Knowing key customers well enough is the magic, which creates market leaders!
On...00803urn:lsid:ibm.com:blogs:entries-c47fe6cc-f75b-4b05-a44e-bfe3254946daI blog. You blog. Blue Blog.2015-02-18T10:37:54-05:00urn:lsid:ibm.com:blogs:entry-094e1d21-b9f6-41f0-b0c1-1b843e0e5c32Attendees win big in Vegas at Enterprise 2014Pratin Ashtekarpratinashtekar@in.ibm.com2700046SAGactiveComment Entriesapplication/atom+xml;type=entryLikes2014-10-28T07:22:51-04:002014-10-28T07:28:37-04:00<p dir="ltr">
<img alt="image" height="256" src="https://www-304.ibm.com/connections/blogs/systemz/resource/BLOGS_UPLOADED_IMAGES/BethSarnie.jpg" style="height: 137px; float: left; margin: 1em 1em 0pt 0pt; display: block; width: 136px" width="255" /></p>
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<strong>By Beth Sarnie,</strong></p>
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<strong>Product Manager - Linux on System z.</strong></p>
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<span style="font-family: arial, sans-serif"><span style="font-size: 10pt">Two weeks ago, I attended Enterprise2014 in Las Vegas, it was a great experience. The event was sold out with more than 3,500 attendees from our clients, press and analysts at the venue awaiting our latest announcements. It was exciting and energizing to me to hear all of the multiple presentations and some of the best were from hearing stories of how System z has transformed our clients businesses.</span></span></p>
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<span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><iframe align="middle" frameborder="1" height="150" scrolling="yes" src="https://www.youtube.com/embed/xtswhnVLO8Y?list=PL6JlUtk-0lmLdb4k16nP7_Nhhp9pS1O3r" width="300"></iframe></span></span></p>
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<span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><span style="font-family: arial, sans-serif"><span style="font-size: 10pt">I had the opportunity to meet a number of people from around the world, all interested in system z and the growing opportunities that mobile, analytics, and cloud bring to every industry. I enjoyed meeting Steve Croom, CEO, Vissensa and discussing Vissensa&rsquo;s works in regard to the MSP market. More companies are seeing the potential benefits of cloud computing. Vissensa has a hybrid cloud model that supports an end-to-end scope of infrastructure, platform, and services.</span></span></span></span></p>
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<span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><span style="font-family: arial, sans-serif"><span style="font-size: 10pt">Graham Phillips, Vice President of Infrastructure at Travelport also took the stage to share how the IBM mainframe helps them conduct 900 billion transactions annually. That equates to $85 billion worth of value</span></span>.</span></span></span></span></p>
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<span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><iframe align="middle" frameborder="1" height="150" scrolling="yes" src="https://www.youtube.com/embed/BdMj01uDrdw" width="300"></iframe></span></span></span></span></span></span></span></span></p>
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<span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><span style="font-family: arial, sans-serif"><span style="font-size: 10pt">In the breakout sessions I met a number of other clients and listened to a great z story from Paulo Nassar, SICOOB. SICOOB is Brazil&rsquo;s largest credit union system. They have been on a cloud journey for the last few years and they have adopted system z in order to achieve a highly scalable and reliable platform to meet the increased demand on their service network from their customers&rsquo; mobile devices. Paulo talked about SICOOB&rsquo;s approach to cloud. SICOOB has a number of videos on this out on YouTube</span></span>.</span></span></span></span></p>
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&nbsp;<span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><iframe align="middle" frameborder="1" height="150" scrolling="yes" src="https://www.youtube.com/embed/O3x2Vhg-GtY" width="300"></iframe></span></span></span></span></p>
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<span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><span style="font-family: arial, sans-serif"><span style="font-size: 10pt"><span style="font-family: arial, sans-serif"><span style="font-size: 10pt">I also enjoyed teaming with my colleagues from every brand and sharing additional ideas on how IBM product capabilities can combine to provide even more technical value to address market needs. And there was certainly no lack of entertainment, both Monday and Tuesday main tent sessions were opened by great music from Delta Rae and The Wild Feathers. I look forward to continuing the new relationship formed at Enterprise and hope to see everyone again very soon at InterConnect 2015, which is just right around the corner Feb 22 &ndash; 26 and once again in Las Vegas.</span></span></span></span></span></span></p>
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<strong><span style="font-size: 11px">For further information you can always connect with me on Twitter <a href="https://twitter.com/beth_sarnie" target="_blank">@Beth_Sarnie</a></span></strong></p>
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By Beth Sarnie,
Product Manager - Linux on System z.
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Two weeks ago, I attended Enterprise2014 in Las Vegas, it was a great experience. The event was sold out with more...001479urn:lsid:ibm.com:blogs:entries-b1aaaa63-055a-4eee-bffd-c1c476eefda3IBM Mainframe Insights2015-01-30T00:55:03-05:00urn:lsid:ibm.com:blogs:entry-6e522d44-56c9-4f77-aba4-b79c0a404b2fAnalytics: The Speed AdvantageTim O'BryanTIM_OBRYAN@yahoo.com270001NMX7activeComment Entriesapplication/atom+xml;type=entryLikes2014-10-24T10:26:24-04:002014-11-03T16:07:31-05:00<p dir="ltr">
<strong><em>(Guest post from IBM&#39;s Dave Laverty, Vice President - Marketing, Big Data &amp; Analytics)</em></strong></p>
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<a href="http://media-cache-ak0.pinimg.com/originals/39/54/83/395483e9393defadfff62625c9f58320.jpg" target="_blank"><img alt="image" src="http://media-cache-ak0.pinimg.com/originals/39/54/83/395483e9393defadfff62625c9f58320.jpg" style=" width:200px; display:block; margin: 1em 1em 0pt 0pt; float: left;" /></a>2014 marks significant shifts in the era of big data. &nbsp;Business executives around the globe cannot afford to ignore them. The most significant change is that velocity is now the value driver for big data.</div>
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IBM&rsquo;s sixth annual analytics study finds that organizations differentiating themselves with speed-driven data and analytics practices can significantly impact business performance and competitive position. Known as Front Runners, 63% realize a return on their analytics investments within just 12 months. Front Runners are creating significant business value evidenced by these statistics:</p>
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&bull;<span class="Apple-tab-span" style="white-space:pre"> </span>69% report a significant impact on business outcomes.</div>
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&bull;<span class="Apple-tab-span" style="white-space:pre"> </span>60% report a significant impact on revenues.</div>
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&bull;<span class="Apple-tab-span" style="white-space:pre"> </span>53% report a significant competitive advantage</div>
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<a href="http://www-935.ibm.com/services/us/gbs/thoughtleadership/2014analytics/" target="_blank" text="undefined"><img alt="image" src="http://media-cache-ak0.pinimg.com/originals/70/fe/80/70fe801643d3d7d4c88eed064614875a.jpg" style=" width:400px; display:block; margin: 1em 0pt 0pt 1em; float: right;" /></a>By quickly transforming raw data into actionable insights, Front Runners are not only increasing revenues, operating more efficiently and creating better customer interactions, but also beating their competitors.&nbsp;</div>
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Front Runners have honed their data management and analysis processes, enabled employees to access and act on insights at every opportunity and begun to transform their organizations through end-to-end actions that combine digital interactions with business process re-invention.</div>
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By blending traditional business intelligence infrastructure with big data technologies, Front Runners create agility and flexibility in the way they ingest and manage data.</div>
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92% of the Front Runners surveyed have an integrated data warehouse. Front Runners are also 10 times more likely to have a big data landing platform than other organizations. They collect a wider variety of data and empower employees to act on data by using techniques like embedding and visualization. Front Runners also embrace a data approach that seeks to minimize the time it takes to convert raw data into actions that positively impact business.&nbsp;</p>
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In its 2014 study, &ldquo;<a href="http://www-935.ibm.com/services/us/gbs/thoughtleadership/2014analytics/">Analytics:&nbsp;The&nbsp;speed&nbsp;advantage,</a>&rdquo; the IBM Institute for Business Value delves into the habits of these Front Runners to understand the best practices that differentiate them from others in the global marketplace. It examines the capabilities that enable them to more quickly acquire and manage data, analyze data faster, and act on data insights with speed and precision.</div>
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Learn how to emulate these outperformers by acquiring, analyzing and acting on data with a focus on speed to action.</div>
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Download this IBV study&nbsp;<a href="http://ibm.biz/2014analytics">Analytics:&nbsp;&nbsp;The&nbsp;Speed&nbsp;Advantage</a>&nbsp;now.&nbsp;</p>
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<strong>Related resources: &nbsp;</strong></div>
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&bull;<span class="Apple-tab-span" style="white-space:pre"> </span><a href="http://www.ibm.com/big-data/us/en/big-data-and-analytics/index.html">IBM&nbsp;Big&nbsp;Data&nbsp;&amp;&nbsp;Analytics&nbsp;</a></div>
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&bull;<span class="Apple-tab-span" style="white-space:pre"> </span><a href="http://www-935.ibm.com/services/us/gbs/thoughtleadership/2014analytics/">IBM&nbsp;Institute&nbsp;for&nbsp;Business&nbsp;Value</a></div>
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&bull;<span class="Apple-tab-span" style="white-space:pre"> </span><a href="http://www.ibm.com/analytics/watson-analytics/">IBM&nbsp;Watson&nbsp;Analytics</a></div>
(Guest post from IBM&#39;s Dave Laverty, Vice President - Marketing, Big Data &amp; Analytics)
2014 marks significant shifts in the era of big data. &nbsp;Business executives around the globe cannot afford to ignore them. The most significant change is...011463urn:lsid:ibm.com:blogs:entries-6de57278-dfe4-4f99-b549-91c00ef0ba45AnalyticsZone Blog2015-03-03T09:52:40-05:00urn:lsid:ibm.com:blogs:entry-dc42d608-a921-4669-96ff-0d093f9781bdTaking Analytics from Cutting Edge to Ahead of the CurvePratin Ashtekarpratinashtekar@in.ibm.com2700046SAGactiveComment Entriesapplication/atom+xml;type=entryLikes2014-10-06T07:01:29-04:002014-10-06T07:06:58-04:00<p dir="ltr" style="text-align: justify;">
<a href="https://www-304.ibm.com/connections/blogs/systemz/resource/BLOGS_UPLOADED_IMAGES/AnnetteZawacki.jpg" target="_blank"><img alt="image" src="https://www-304.ibm.com/connections/blogs/systemz/resource/BLOGS_UPLOADED_IMAGES/AnnetteZawacki.jpg" style=" display:block; margin: 1em 1em 0pt 0pt; float: left;" /></a></p>
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<strong>By Annette Zawacki,</strong></p>
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<strong>Senior Product Marketing Manager - Analytics on zEnterprise. </strong></p>
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<span style="color:black;">Did you know that platform choice can be a key differentiator in how well an analytics strategy is able to impact bottom line results and deliver the competitive insight you need to put your organization ahead of the curve?</span></p>
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Analytics is proven to be critical to business success because of the direct impact it can have on bottom line results.&nbsp; Key to the success of any analytics initiative is delivering a solution that can stand up to heightened and growing requirements for business critical insight.&nbsp; Big Data and Analytic solutions now need to be highly available, high performing and scale to more users and more data than ever before &ndash; meeting the needs for both IT and the business.&nbsp; The insight they deliver needs to be extremely timely, accurate and secure. Analytic solutions need to be cost competitive and easy to deploy and expand as new requirements arise.</p>
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To reach this goal, organizations need to first considering where data is coming into their business thru their transactional systems and then bring their analytics to that data for more real-time, accurate insight. Being able to keep transactional and analytics systems together in a single, integrated environment can take any analytics strategy to new heights giving business users the insight they need, when they need it while also containing IT cost and complexity.</p>
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If the majority of your organizations transactional data is coming into your business via an IBM zEnterprise mainframe you have a distinct advantage.&nbsp; You can cost competitively bring analytics to that data in a hybrid environment, to gain real-time, accurate insight with the proven qualities of service that business critical analytics now demand and the zEnterprise platform is renowned for.&nbsp; IBM customers are already leveraging the platform and the Big Data and Analytics solutions that run on it to detect fraud in real time, better up-sell and cross-sell to improve sales margins and drive more competitive customer care programs.</p>
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<span style="color:black;">If you plan on being at IBM <a href="http://www.ibm.com/software/events/insight/?cmp=-&amp;ct=InsightSRCH14&amp;cr=google&amp;cm=k&amp;csr=%5bunica_csr%5d&amp;ccy=us&amp;ck=ibm%20insight%20conference&amp;cs=e&amp;S_PKG=Insig&amp;S_TACT=InsightSRCH14&amp;mkwid=shpUJ5Kh5-c_46203058432_432why30573" target="_blank">Insight&nbsp;2014&nbsp;in&nbsp;Las&nbsp;Vegas</a> please be sure to check out these <a href="http://www.ibm.com/software/os/systemz/conference/insight/dwba.html" target="_blank">System&nbsp;z&nbsp;Analytics&nbsp;sessions</a> and stop by the System z Big Data and Analytics booths.&nbsp; Also, visit our community site at <a href="http://searchbusinessanalytics.techtarget.com/bigdataanalytics" target="_blank">Enterprise&nbsp;Insight&nbsp;for&nbsp;Proven&nbsp;Competitive&nbsp;Advantage.</a></span><a href="http://searchbusinessanalytics.techtarget.com/bigdataanalytics"> </a></p>
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<span style="font-size:11px;"><strong>About the author</strong>: With over 20 years in the high tech industry, Annette is an experienced marketing manager in both marketing communications and product marketing. In her current role as a Senior Product Marketing Manager in the zEnterprise Information Management Software Group at IBM, she is the team lead for data warehousing and analytics driving an integrated, worldwide marketing strategy and execution plan across multiple brands and solutions. She also writes on blog: <a href="http://it.toolbox.com/blogs/business-critical-analytics/" target="_blank">When&nbsp;Analytics&nbsp;are&nbsp;Business&nbsp;Critical</a></span></p>
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By Annette Zawacki,
Senior Product Marketing Manager - Analytics on zEnterprise.
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Did you know that platform choice can be a key differentiator in how well an analytics strategy is...001796urn:lsid:ibm.com:blogs:entries-b1aaaa63-055a-4eee-bffd-c1c476eefda3IBM Mainframe Insights2015-01-30T00:55:03-05:00urn:lsid:ibm.com:blogs:entry-c3219cf4-ed79-430f-9aec-6716a8f81593Återvinn din data och bli en vinnare!Amina Henaien Taghaboniamina.henaien@se.ibm.com270007M856activeComment Entriesapplication/atom+xml;type=entryLikes2014-09-26T07:54:39-04:002014-09-26T08:05:41-04:00<p dir="ltr">
Om en utomjording hade kollat ner p&aring; jorden idag s&aring; skulle den kunna se ett tjockt moln av data som t&auml;cker v&aring;r planet, ett moln som bara forts&auml;tter v&auml;xa och v&auml;xa.<br />
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Denna eviga expansion&nbsp; av data har gjort information till en av v&auml;rldens fr&auml;msta resurser. Man har insett att alla dessa datatillg&aring;ngar g&aring;r att &aring;teranv&auml;nda, analyseras och nyttigg&ouml;ras. Det g&ouml;rs genom s.k. &ldquo;Big Data &amp; Analytics&rdquo; (BD&amp;A), vilket &auml;r ett omr&aring;de som IBM utvecklat verktyg till redan som pionj&auml;rer.<br />
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I detta&nbsp; blogginl&auml;gg ska jag ber&auml;tta lite kort om hur BD&amp;A kan f&ouml;rb&auml;ttra f&ouml;retags arbetss&auml;tt och f&ouml;rtydliga hur viktigt det &auml;r med en bra plattform.</p>
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F&ouml;rdelarna med att till&auml;mpa BD&amp;A</h3>
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Att ta r&auml;tt beslut i tid &auml;r avg&ouml;rande f&ouml;r f&ouml;retag i denna konkurrenskraftiga v&auml;rld. Mha BD&amp;A har man m&ouml;jligheten att analysera datan och dra slutsatser i real-tid. Man kan f&aring; analyser, statistik, grafer och beskrivningar p&aring; enbart n&aring;gra sekunder (n&aring;got som inte var m&ouml;jligt tidigare).<br />
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Datan som nyttjas kommer ofta fr&aring;n tj&auml;nster vi anv&auml;nder dagligen och m&ouml;jligg&ouml;r d&auml;rav att man med BD&amp;A kan se hur kunderna svarar p&aring; olika tj&auml;nster, och anpassa aggerandet d&auml;refter (t.ex. individuellt anpassad reklam). Ett ytterligare bra exempel &auml;r att det med hj&auml;lp av BD&amp;A g&aring;r att g&aring; igenom alla e-mail som man f&aring;tt fr&aring;n kunder, och f&ouml;rst&aring; vad det &auml;r f&ouml;r n&aring;got de &auml;r mest och minst n&ouml;jda med.<br />
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All denna information fr&aring;n BD&amp;A minskar avst&aring;ndet mellan f&ouml;retag och kund, vilket kan p&aring; ett v&auml;ldigt p&aring;tagligt s&auml;tt &auml;ven &ouml;ka annuitetskvoten (ROI). D&aring; det g&ouml;r att pengar l&auml;ggs p&aring; r&auml;tt plats vid r&auml;tt tillf&auml;lle.</p>
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Infrastruktur har betydelse</h3>
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F&ouml;r att utf&ouml;ra alla dessa komplexa analyser p&aring; s&aring; kort tid som m&ouml;jligt s&aring; kr&auml;vs det kraftfulla datorer med adekvat processorkraft samt utrymme f&ouml;r verksamheten att v&auml;xa eftersom behovet av lagringskapacitet kommer &ouml;ka progressivt. D&aring; beh&ouml;vs r&auml;tt infrastruktur, som selektivt sparar relevant information och en plattform som l&auml;tt kan skalas upp p&aring; ett smidigt s&auml;tt. Genom t.ex. virtualisering kan detta genomf&ouml;ras utan att p&aring;verka arbetsfl&ouml;det eller att slutanv&auml;ndaren m&auml;rker av det.<br />
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Vill du f&aring; en genv&auml;g till ett b&auml;ttre f&ouml;rst&aring;else i &auml;mnet s&aring; rekommenderar jag boken Big Data Analytics Infrastructure For Dummies, <a href="http://bit.ly/SxKJHw">som&nbsp;du&nbsp;kan&nbsp;h&auml;mta&nbsp;gratis&nbsp;h&auml;r.</a> Det &auml;r en l&auml;ttl&auml;st referensbok p&aring; 44 sidor som kommer hj&auml;lpa dig att snabbt komma i g&aring;ng och &auml;ven ge dig en insyn i de olika system som IBM har att erbjuda.</p>
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Missa inte Big Data &amp; Analytics Technical Summit 2014 den 26-27:e november! <a href="https://ibm.biz/BigDataInvite">https://ibm.biz/BigDataInvite</a></p>
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<a href="http://bit.ly/SxKJHw" target="_blank" text="undefined"><img alt="image" src="https://www-304.ibm.com/connections/blogs/smartaredatacenter/resource/BLOGS_UPLOADED_IMAGES/BDA_Dummies_Flat.jpg" style=" display:block; margin: 1em 1em 0pt 0pt; float: left;" /></a></p>
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Om en utomjording hade kollat ner p&aring; jorden idag s&aring; skulle den kunna se ett tjockt moln av data som t&auml;cker v&aring;r planet, ett moln som bara forts&auml;tter v&auml;xa och v&auml;xa.
Denna eviga expansion&nbsp; av data har gjort...101334urn:lsid:ibm.com:blogs:entries-d8d239e4-6366-40f1-97fa-38b5aaacd778Smartare Datacenter2015-01-13T17:55:19-05:00urn:lsid:ibm.com:blogs:entry-ea1375d8-3521-49b6-a010-25c8139b1b7eBig Data - the world of structured & unstructured data is not new for usPratin Ashtekarpratinashtekar@in.ibm.com2700046SAGactiveComment Entriesapplication/atom+xml;type=entryLikes2014-09-24T07:36:28-04:002014-09-24T07:38:49-04:00<p dir="ltr">
<img alt="image" src="https://www-304.ibm.com/connections/blogs/systemz/resource/BLOGS_UPLOADED_IMAGES/MarkSimmonds2.png" style=" display:block; margin: 1em 1em 0pt 0pt; float: left;" /></p>
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<strong>By Mark Simmonds,</strong></p>
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<strong>Sr. Product Marketing Manager&nbsp; - IBM System z Software.</strong></p>
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If I hear big data one more time...... well I guess I am going to.&nbsp; It remains a hot topic because it sends a message to departments and organizations to think bigger and broader in terms of how they leverage data.&nbsp;&nbsp; Until recently many of us saw and used data in a specific almost siloed way - based on our use of data in our jobs and lives. But our worlds have been turned upside down with the exponential growth in volume and the need to integrate many different sources of information. The more perspectives we gather on a situation, issue, product, person or organization the smarter decisions we can make - because we get closer to the truth.&nbsp; That way we get better business outcomes - if and only if you have the right business analytics solutions.<br />
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I often get asked the question &ldquo;what is the relationship between big data and analytics&rdquo;.&nbsp; To me they are symbiotic they can&#39;t live without each other.&nbsp; What is the point of analytics without the right types of data (data quality is a whole different issue - let&#39;s not go there in this discussion). And what is the point of collecting vast volumes and varieties of data unless you have sophisticated analytic capabilities to understand the data and discover new insights?&nbsp; Like oil, data in its raw unrefined state can be of some value to some people. However, If we blend it with other sources of data and refine it in different ways its value increases - and that&#39;s where the analytics comes into force. However, unlike oil data can be used and reused many times - it doesn&#39;t wear thin.&nbsp; IBM provides a broad spectrum of business critical analytic solutions covering investigative, descriptive, predictive and cognitive analytics.<br />
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One key fact is that transactional and log data is the #1 and #2 data used in big data initiatives. Why? Because it is rich in value, it is trusted, its provenance is understood.&nbsp; It forms the core around which much of today&#39;s business analytics are built around and why we see the data warehousing moving close to that transactional data.&nbsp; With an estimated 80% of corporate data being stored on the mainframe its not surprising to me that this powerful platform is taking center stage for big data.&nbsp; Then there is the unprecedented security of the platform - is has never been hacked.....<br />
<br />
....And that is one of the main reasons why customers asked IBM to deliver InfoSphere BigInsights on Linux for System z - because they did not want their data to be exposed to potential security breaches off platform. Let&#39;s be clear here.&nbsp; Hadoop is not the &quot;panacea of all ills&quot;.&nbsp; IBM Cognos, QMF, SPSS, DB2 Analytics Accelerator are best of breed analytics solutions suited to particular tasks while InfoSphere BigInsights is more suited toward investigative analytics of differently structured data. Customers can now analyze DB2, IMS, VSAM related data sets such as&nbsp; logs using the flexibility of Hadoop and use the insights to augment their knowledge of their business.&nbsp;&nbsp; All have a place at the analytics table.<br />
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I&#39;ll be at Insight 2014 - so stop by and visit the team at the System z&nbsp; big data and business analytics booth.<br />
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Remember to check out thee <a href="http://www.ibm.com/software/os/systemz/conference/insight/dwba.html" target="_blank">System&nbsp;z&nbsp;business&nbsp;analytics&nbsp;sessions</a> and visit our community site here <a href="http://searchbusinessanalytics.techtarget.com/bigdataanalytics" target="_blank">IBM&nbsp;Big&nbsp;Data&nbsp;and&nbsp;Business&nbsp;Analytics&nbsp;community&nbsp;site&nbsp;</a></p>
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&nbsp;
By Mark Simmonds,
Sr. Product Marketing Manager&nbsp; - IBM System z Software.
&nbsp;
If I hear big data one more time...... well I guess I am going to.&nbsp; It remains a hot topic...001327urn:lsid:ibm.com:blogs:entries-b1aaaa63-055a-4eee-bffd-c1c476eefda3IBM Mainframe Insights2015-01-30T00:55:03-05:00urn:lsid:ibm.com:blogs:entry-630518ab-3446-43fa-8353-33428a4762f3Learn new ways to harness big data and accelerate analytics with software-defined storage and cloudAndrew Jolieajolie@ca.ibm.com270005A5NBactiveComment Entriesapplication/atom+xml;type=entryLikes2014-09-10T14:58:37-04:002014-09-10T15:25:23-04:00<p dir="ltr">
Big data, analytics, software defined storage and cloud computing are converging in new ways that can help your business reach its goals. That&rsquo;s why IBM is offering this complimentary, informational, half-day seminar in October where you can learn more about these trends and best practices in a city near you.</p>
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Who should attend?</h2>
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IBM invites the following IT and business professionals who want to speed time to market, reduce risk, improve analytics delivery and manage big data workloads:</p>
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IT Directors and Managers</li>
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CFOs and Financial Managers</li>
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CTOs and Data Architects</li>
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Life Science Researchers</li>
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HPC Administrators</li>
</ul>
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<td style="width:300px;" width="300px">
<ul>
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Hadoop Developers</li>
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CAD, Structural &amp; SW Engineers</li>
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Academic Science Faculty</li>
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Auto/Aero and Petroleum Engineers</li>
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Geoscientists</li>
</ul>
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&nbsp;</p>
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If you want to learn how you can take advantage of big data and accelerate analytics with software-defined storage, a shared services architecture and cloud, you will want to attend this informational seminar! Hear detailed use cases in your industry&mdash;whether it&rsquo;s financial services, life sciences, automotive, petroleum, aerospace/defense or education.</p>
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<strong>Oct14: Houston</strong><br />
<strong>8:30am - 1:00pm</strong><br />
Morton&#39;s The Steakhouse<br />
1001 McKinney St<br />
Houston, Texas 77002<br />
<a class="ibm-forward-link" href="https://www-950.ibm.com/events/wwe/grp/grp017.nsf/v17_enrollall?openform&amp;seminar=CZ3RJ3ES&amp;locale=en_US&amp;S_TACT=web">Register now</a><br />
<a class="ibm-forward-link" href="https://www-950.ibm.com/events/wwe/grp/grp017.nsf/v17_agenda?openform&amp;seminar=CZ3RJ3ES&amp;locale=en_US&amp;S_TACT=web">View agenda</a></p>
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<strong>Oct15: Boston</strong><br />
<strong>8:30am - 1:00pm</strong><br />
Ruth&rsquo;s Chris Steakhouse<br />
45 School Street<br />
Boston, MA 02108<br />
<a class="ibm-forward-link" href="https://www-950.ibm.com/events/wwe/grp/grp017.nsf/v17_enrollall?openform&amp;seminar=6A5739ES&amp;locale=en_US&amp;S_TACT=web" target="_blank">Register now</a><br />
<a class="ibm-forward-link" href="https://www-950.ibm.com/events/wwe/grp/grp017.nsf/v17_agenda?openform&amp;seminar=6A5739ES&amp;locale=en_US&amp;S_TACT=web" target="_blank">View agenda</a></p>
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<td style="width:220px;" width="220px">
<p>
<strong>Oct16: Chicago</strong><br />
<strong>8:30am - 1:00pm</strong><br />
Harry Caray&#39;s Italian Steakhouse<br />
33 West Kinzie Street<br />
Chicago, Illinois 60654<br />
<a class="ibm-forward-link" href="https://www-950.ibm.com/events/wwe/grp/grp017.nsf/v17_enrollall?openform&amp;seminar=53ZPTQES&amp;locale=en_US&amp;S_TACT=web" target="_blank">Register now</a><br />
<a class="ibm-forward-link" href="https://www-950.ibm.com/events/wwe/grp/grp017.nsf/v17_agenda?openform&amp;seminar=53ZPTQES&amp;locale=en_US&amp;S_TACT=web" target="_blank">View agenda</a></p>
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What you&rsquo;ll learn</h2>
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IBM has big data, software defined storage, infrastructure optimization and cloud solutions that help your business:</p>
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Manage and accelerate big data, Hadoop and analytics workloads</li>
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Bring products to market faster</li>
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Optimize computing and data resources through advanced scheduling</li>
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Share resources and process data in the cloud</li>
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Enhance data security, performance and sharing with software-defined storage</li>
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Find out what Elastic Storage can do for you</h3>
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Elastic Storage is scalable, high-performance data management and storage software based upon the IBM General Parallel File System, known as IBM GPFS&trade; technology. Elastic Storage enables you to manage petabytes of data and billions of files to stem growing file and object storage costs.</p>
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Please join IBM at one of these selected locations!</p>
Big data, analytics, software defined storage and cloud computing are converging in new ways that can help your business reach its goals. That&rsquo;s why IBM is offering this complimentary, informational, half-day seminar in October where you can learn more...002290urn:lsid:ibm.com:blogs:entries-ecd67bbb-d625-49f1-99a0-58ea161813d7IBM Platform Computing Blog2015-02-22T00:11:46-05:00urn:lsid:ibm.com:blogs:entry-322abb64-bcf6-4e8a-af3f-3a14d0b82724I like big data and I cannot lie, BUT I have big challenges moving it, find out why… Top 5 challengesJosh Hardyjhardy@us.ibm.com120000B94CactiveComment Entriesapplication/atom+xml;type=entryLikes2014-08-26T14:53:48-04:002014-08-26T16:58:00-04:00<p dir="ltr">
Earlier this year IBM partnered with research firm, Vanson Bourne to gather insight into the top challenges facing IT in 2014.&nbsp;&nbsp; We asked 460 IT professionals** from around the globe (US, UK, France, Germany, South Africa, India, Australia);&nbsp;<strong>What issues are you experiencing in moving Big Data? &nbsp;</strong></p>
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<strong>Here are the top issues:</strong></p>
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<span style="text-indent: -0.25in;">Speed</span></li>
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<span style="text-indent: -0.25in;">Multiple moves to share</span></li>
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<span style="text-indent: -0.25in;">Bandwidth control and allocation</span></li>
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<span style="text-indent: -0.25in;">Distance</span></li>
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<span style="text-indent: -0.25in;">Success rates or SLAs</span></li>
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<em><strong>Please comment to this blog with any other issues you are seeing in your business.</strong></em></p>
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<a href="https://www-304.ibm.com/connections/blogs/B2B/resource/blogimage.png" style="width: 100%; display: inline-block;" target="_blank"><img alt="image" src="https://www-304.ibm.com/connections/blogs/B2B/resource/blogimage.png" style=" display:block; margin: 1em 0pt 0pt 0pt; float: left;" /></a></p>
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<strong>Why do these problems exist?</strong></p>
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The answer is actually quite simply that the traditional TCP-based transfer tools like FTP/HTTP, were not designed for the efficient movement of large files.&nbsp; &nbsp;They do not fully utilize the available bandwidth, whether over WAN, wireless or satellite connections.&nbsp; These transfer options suffer high latency and packet loss which dramatically worsen in less than optimal network conditions.&nbsp;</p>
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<strong>Thankfully, there is a solution</strong> that solves the issues of speed, distance, simplified sharing, bandwidth control, and quality of service. &nbsp;The solution is the FASP protocol developed by Aspera, an IBM Company.&nbsp; &nbsp;<strong>Aspera FASP</strong> technology actually performs best in the face of large file sizes, long distances, and less than optimal networks. &nbsp;</p>
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<strong>Learn more</strong> about the <a href="https://ibm.biz/FASP123" target="_blank">Aspera&nbsp;FASP&nbsp;advantage</a></p>
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<strong>Compare Aspera&rsquo;s incredible FASP performance over TCP</strong> &nbsp;- <a href="https://ibm.biz/FASPCalc" target="_blank">FASP&nbsp;Performance&nbsp;Calculator</a></p>
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<strong>Download</strong> the <a href="https://ibm.biz/FASPwpr" target="_blank">Aspera&nbsp;FASP&nbsp;technology&nbsp;whitepaper</a></p>
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<strong>Follow me on Twitter:</strong>&nbsp; <a href="http://twitter.com/#!/jhardyb2b">@Jhardyb2b</a></p>
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I<strong>nterested in another slice of the data, just post your request...</strong></p>
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<strong>Research Details: &nbsp;</strong><em>2014 IT Business Priorities, research conducted by Vanson Bourne on behalf of IBM</em></p>
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IT Roles: <em>C-level (CIO, CISO, etc...), IT Director, IT operations, IT/enterprise/solutions architect, IT security, IT management</em><br />
Industries: <em>Manufacturing, Financial Services (including Insurance), Telecoms, Distribution/logistics/transportation, Retail, Energy/Utilities(incl Oil &amp; Gas), Healthcare, Other</em><br />
Company sizes: <em>1001-3000 employees and greater than 3000 employees</em><br />
Countries: &nbsp;<em>US, UK, France, Germany, South Africa, India, Australia</em></p>
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<a href="http://ctt.ec/3o03P"><img src="http://clicktotweet.com/img/tweet-graphic-4.png" alt="Tweet: RT @jhardyb2b I like #bigdata and I cannot lie, BUT moving it is hard. Top issues http://ctt.ec/3o03P+ #MFT http://ctt.ec/U921y+" /></a>
Earlier this year IBM partnered with research firm, Vanson Bourne to gather insight into the top challenges facing IT in 2014.&nbsp;&nbsp; We asked 460 IT professionals** from around the globe (US, UK, France, Germany, South Africa, India, Australia);&nbsp;...003338urn:lsid:ibm.com:blogs:entries-3f1c62c6-d34b-42cd-9e43-e5071d38e6a5IBM Smarter Commerce - B2B Integration and Managed File Transfer (MFT) Solutions2014-08-30T09:43:40-04:00urn:lsid:ibm.com:blogs:entry-4d50556b-085e-4a17-b88d-d16559d1c2d6Accelerated analytics with IBM Platform LSFGabor Samugsamu@ca.ibm.com2700060UA1activeComment Entriesapplication/atom+xml;type=entryLikes2014-08-22T10:00:00-04:002014-08-22T09:03:47-04:00<p dir="ltr">
With the collision of big data &amp; analytics with traditional High-Performance Computing (HPC), there is growing interest in leveraging the disciplines of HPC to perform analytics on the vast amounts of data being collected in many fields.&nbsp; MapReduce is the de facto programming model for performing analysis on large volumes of data, and there is a&nbsp; focus in traditional HPC environments to harness expanding computational capabilities for such workloads.&nbsp; In addition to the recently launched Hadoop Connector Script for IBM Platform LSF, users of <a href="https://ibm.biz/BdFZyY" target="_blank">IBM&reg;&nbsp;Platform&trade;&nbsp;LSF&reg;</a> now have available another option to run MapReduce analytics workloads in their existing infrastructure, accelerated!<br />
<br />
Announcing the availability of <a href="https://ibm.biz/BdFrLt" target="_blank">IBM&reg; Platform&trade; MapReduce&nbsp;Accelerator&nbsp;for&nbsp;LSF</a> via open beta.&nbsp; Drawing on the extensive experience of <a href="https://ibm.biz/BdFZy2" target="_blank">IBM&nbsp;Platform&nbsp;Computing</a> in distributed computing and resource management, IBM Platform MapReduce Accelerator for LSF uses <a href="https://ibm.biz/BdFZyf" target="_blank">proven&nbsp;technology</a> to run MapReduce workloads faster than open source MapReduce.&nbsp; From the user perspective, MapReduce workloads are submitted to Platform LSF and are scheduled and executed in a seamless fashion; taking advantage of the underlying parallel file system for access to data.&nbsp; Ultimately, this allows HPC users to run analytics workloads on their existing Platform LSF infrastructure without the need for further investment or dedicated hardware.&nbsp; For more details about IBM Platform MapReduce Accelerator for LSF, visit the Technical Computing community on <a href="https://ibm.biz/BdFZyP" target="_blank">Service&nbsp;Management&nbsp;Connect</a> and turbo charge the <a href="https://ibm.biz/BdFZyM" target="_blank">elephant</a>!</p>
With the collision of big data &amp; analytics with traditional High-Performance Computing (HPC), there is growing interest in leveraging the disciplines of HPC to perform analytics on the vast amounts of data being collected in many fields.&nbsp; MapReduce is...001270urn:lsid:ibm.com:blogs:entries-ecd67bbb-d625-49f1-99a0-58ea161813d7IBM Platform Computing Blog2015-02-22T00:11:46-05:00urn:lsid:ibm.com:blogs:entry-e6337ca6-e5e5-487f-b669-94e34bc49f6fIBM Academic Initiative lädt zum Frühstück in AlpbachBarbara Jaxbarbara.jax@at.ibm.com2700055KGPactiveComment Entriesapplication/atom+xml;type=entryLikes2014-08-21T08:28:37-04:002014-08-21T08:37:26-04:00<p dir="ltr">
<a href="https://www-304.ibm.com/connections/blogs/ibmconnected/resource/BLOGS_UPLOADED_IMAGES/AIlogo.jpg" target="_blank"><img alt="image" src="https://www-304.ibm.com/connections/blogs/ibmconnected/resource/BLOGS_UPLOADED_IMAGES/AIlogo.jpg" style="display: block; margin: 1em 1em 0pt 0pt; float: left; width: 100px; height: 92px;" /></a><a href="http://www-304.ibm.com/ibm/university/academic/pub/page/academic_initiative" target="_blank">IBM&nbsp;Academic&nbsp;Initiative</a> hat am 20. August in Rahmen der Hochschulgespr&auml;che in Alpbach zu einem Fr&uuml;hst&uuml;ck mit dem Thema</p>
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<span style="font-size:12px;"><span style="font-family: arial,helvetica,sans-serif;"><span style="font-size:14px;">&#39;<span style="font-variant: normal; text-transform: none; font-weight: bold; font-style: normal; vertical-align: baseline;"><span style="color: black;">DOME: die ultimative Big Data Herausforderung</span></span>&#39; </span>eingeladen.</span></span></p>
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<span style="font-size:12px;"><span style="font-family: arial,helvetica,sans-serif;"><span style="color: black;">Stellen Sie sich vor, Sie haben ein IT-System, das 14 Exabytes an Daten pro Tag sammelt. Nach einem ersten Verarbeitungsschritt verbleibt etwa 1 Petabyte an Daten pro Tag, die abgelegt werden m&uuml;ssen. Zudem braucht das System ein Netzwerk, das imstande ist, diese Daten 100-mal schneller zu transportieren als das heutige Internet. </span></span></span></p>
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<strong><span style="font-size:12px;"><span style="font-family: arial,helvetica,sans-serif;"><span style="color: black;">Undenkbar? Unm&ouml;glich? &nbsp;Das ist unsere ultimative Big Data Herausforderung!</span></span></span></strong></p>
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<span style="font-size:12px;"><span style="font-family: arial,helvetica,sans-serif;"><span style="color: black;">DOME ist eine Zusammenarbeit zwischen IBM Research in Z&uuml;rich und dem niederl&auml;ndischen Institut f&uuml;r Radioastronomie (ASTRON). DOME hat als Ziel, IT zu entwickeln f&uuml;r eines der meist ambiti&ouml;sen wissenschaftlichen Projekten unser Zeit: das SKA &ndash; Square Kilometre Array (<a href="http://www.skatelescope.org" target="_blank">www.skatelescope.org</a>). Obwohl SKA stark auf die Radioastronomie fokussiert ist, erwarten wir, dass DOME einen wesentlichen Einfluss haben wird, wie man in Zukunft Daten verarbeiten, speichern und analysieren wird. </span></span></span></p>
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<span style="font-size:12px;"><span style="font-family: arial,helvetica,sans-serif;"><span style="color: black;">Dr. Ton Engbersen, Sci. Dir. ASTRON &amp; IBM Center for</span> <span style="color: black;">Exascale Technology hat in einem spannenden Vortrag Einblick in die DOME Initiative (<a href="http://www.dome-exascale.nl" target="_blank">www.dome-exascale.nl</a></span><span style="font-style: italic;"><span style="color: black;">) </span></span><span style="color: black;">zum ASTRON Projekt (<a href="http://www.zurich.ibm.com/astron" target="_blank">www.zurich.ibm.com/astron</a>) gegeben </span></span></span>und zahlreiche Fragen im Anschlu&szlig; beantwortet.</p>
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<a href="https://www-304.ibm.com/connections/blogs/ibmconnected/resource/BLOGS_UPLOADED_IMAGES/Alpbach08.jpg" style="width: 100%; display: inline-block;" target="_blank"><img alt="image" src="https://www-304.ibm.com/connections/blogs/ibmconnected/resource/BLOGS_UPLOADED_IMAGES/Alpbach08.jpg" style=" width:100%; display:block; margin: 1em 0pt 0pt 0pt; float: left;" /></a></p>
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Weiter IBM Veranstaltungen im Rahmen das Forum Alpbbach:&nbsp; <a href="http://www-05.ibm.com/at/alpbach2014/">http://www-05.ibm.com/at/alpbach2014/</a></p>
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IBM&nbsp;Academic&nbsp;Initiative hat am 20. August in Rahmen der Hochschulgespr&auml;che in Alpbach zu einem Fr&uuml;hst&uuml;ck mit dem Thema
&#39; DOME: die ultimative Big Data Herausforderung &#39; eingeladen.
&nbsp;
Stellen Sie sich...40819urn:lsid:ibm.com:blogs:entries-0b2e525c-2bba-408d-93bc-7482df7bc467IBM Connected Blog2015-02-25T10:47:23-05:00urn:lsid:ibm.com:blogs:entry-20582b67-00ef-4120-8366-5b125ed1eb3bWhy Elastic Storage is a good choice for OpenStack Object Store environmentsjohn langloisjohnlang@us.ibm.com120000J60AactiveComment Entriesapplication/atom+xml;type=entryLikes2014-07-28T10:22:16-04:002014-07-28T14:55:34-04:00<p dir="ltr">
At this very moment,&nbsp;80% of the data created will be unstructured. Much of the unstructured data is quite valuable. For example, sensors are collecting and generating continuous data streams from scientific experiments, wind turbines, and nuclear reactors. Marketers listen to sentiment data from social networks to quickly respond to your concerns about their products. And your MRI or X-ray from the emergency room in digital form is most certainly precious data.&nbsp;</p>
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<strong><a href="https://w3-connections.ibm.com/blogs/9a13e70b-44f0-41d6-839b-a4492e71150e/resource/BLOGS_UPLOADED_IMAGES/Quote-delugeofdata.jpg" style="text-decoration: none; color: rgb(25, 112, 176);" target="_blank"><img alt="image" src="https://w3-connections.ibm.com/blogs/9a13e70b-44f0-41d6-839b-a4492e71150e/resource/BLOGS_UPLOADED_IMAGES/Quote-delugeofdata.jpg" style="border: 0px; vertical-align: middle; line-height: 0; width: 200px; display: block; margin: 1em 0pt 0pt 1em; float: right;" /></a></strong><br />
<strong style="line-height: 1.5;">Is data a resource and/or a nightmare?&nbsp;</strong></p>
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Data is a resource. To the storage administrator, however, Big Data can also be a nightmare to manage. Think about the file sprawl on your own personal computer. You know from your experience that hierarchical file directories are arbitrary and complex. Steve, a storage administrator, wakes up every morning with ever growing branches of directories to manage. Basic storage management tasks like archiving, backup and disaster recovery is a challenge at scale. &nbsp;</p>
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The OpenStack Object Store project, known as Swift, uses a simpler&nbsp;<u>flatter</u>&nbsp;hierarchical address space with&nbsp;<em>unique resource identifiers</em>&nbsp;for the objects it stores. Swift is ideal for storing unstructured data at scale. With no nesting like a traditional file system, capacity scan scale into the Petabytes and the number of objects into the billions.&nbsp;<br />
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<strong style="line-height: 1.5;">Can Elastic Storage Object really keep my storage projects under one roof?</strong></p>
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Due to its extreme scalability, extensibility, and resilience,&nbsp;OpenStack Swift is emerging as a dominant object storage solution. Despite its benefits, however, OpenStack Swift follows a model of deploying new storage systems for new application domains, effectively separating storage projects from each other.</p>
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Elastic Storage Object and Swift, aims to change this model by consolidating File and Object under a single shared storage infrastructure. The global namespace eliminates the need for physical client-to-server mappings making this an ideal platform to perform common storage management tasks such as automated storage tiering and user transparent data migration. &nbsp;Elastic Storage Object simplifies data management even further by creating a flat namespace and eliminating the hassle of organizing data in a hierarchical namespace.<br />
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<strong style="line-height: 1.5;">How do I start exploring Object Storage?</strong></p>
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If you are in interested in exploring these capabilities, we can help you get your own object storage infrastructure up and running with this new&nbsp;<strong><span style="color: rgb(128, 0, 0);">Redpaper | A Deployment Guide for Elastic Storage Object</span></strong>.&nbsp;<a href="https://ibm.biz/BdFRJk" style="text-decoration: none; color: rgb(25, 112, 176);">Click here for your free copy</a>.</p>
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The goal of this Redpaper is to describe the benefits of using Elastic Storage as the underlying file system with OpenStack Swift, guide the administrator through the installation and configuration of Elastic Storage Object, and describe the general set of configurations and scenarios that have been validated. &nbsp;So download the Redpaper and see for yourself:</p>
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How to take advantage of the benefits of&nbsp;<span style="font-size: 13.333333969116211px; line-height: 22.22222328186035px;">Elastic Storage&nbsp;when building an object storage solution.</span></li>
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How to install OpenStack Swift on GPFS, providing best practices for configuring and tuning the software stack.</li>
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Together, Elastic Storage and OpenStack Swift provide an enterprise-class object storage solution that efficiently stores, distributes, and retains critical data.&nbsp; Get started with your own Elastic Storage Object today.<br />
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<img alt="image" src="https://w3-connections.ibm.com/blogs/9a13e70b-44f0-41d6-839b-a4492e71150e/resource/BLOGS_UPLOADED_IMAGES/ElasticStorage.jpg" style="border: 0px; vertical-align: middle; line-height: 0; display: inline-block; margin: 0px auto; text-align: center; float: left; max-width:620px;" /></p>
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At this very moment,&nbsp;80% of the data created will be unstructured. Much of the unstructured data is quite valuable. For example, sensors are collecting and generating continuous data streams from scientific experiments, wind turbines, and nuclear...002041urn:lsid:ibm.com:blogs:entries-ecd67bbb-d625-49f1-99a0-58ea161813d7IBM Platform Computing Blog2015-02-22T00:11:46-05:00